Videoconferencing Applications for Training Professionals on Nonverbal Communication in Online Clinical Consultations
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Objectives: The use of videoconferencing technologies for clinician-patient online consultations has become increasinglypopular. Training on online communication competence through a videoconferencing application that integrates nonverbalcommunication detection with feedback is one way to prepare future clinicians to conduct effective online consultations. Thiscase report describes and evaluates two such applications designed for healthcare professionals and students in healthcare-relatedfields. Methods: We conducted a literature review using five databases, including the Web of Science, Scopus, PubMed,ACM, IEEE, and CINAHL in the spring of 2022. Results: We identified seven studies on two applications, ReflectLive andEQClinic. These studies were conducted by two research groups from the USA and Australia and were published between2016 and 2020. Both detected nonverbal communication from video and audio and provided computer-generated feedbackon users’ nonverbal communication. The studies evaluated usability, effectiveness in learning communication skills,and changes in the users’ awareness of their nonverbal communication. The developed applications were deemed feasible. However, the feedback given by the applications needs improvement to be more beneficial to the user. The applications wereprimarily evaluated with medical students, with limited or no attention given to questions regarding ethics, informationsecurity, privacy, sustainability, and costs. Conclusions: Current research on videoconferencing systems for training onlineconsultation skills is very limited. Future research is needed to develop more user-centered solutions, focusing on a multidisciplinarygroup of students and professionals, and to explore the implications of these technologies from a broader perspective,including ethics, information security, privacy, sustainability, and costs.
Abstract
Objectives: The use of videoconferencing technologies for clinician-patient online consultations has become increasinglypopular. Training on online communication competence through a videoconferencing application that integrates nonverbalcommunication detection with feedback is one way to prepare future clinicians to conduct effective online consultations. Thiscase report describes and evaluates two such applications designed for healthcare professionals and students in healthcare-relatedfields. Methods: We conducted a literature review using five databases, including the Web of Science, Scopus, PubMed,ACM, IEEE, and CINAHL in the spring of 2022. Results: We identified seven studies on two applications, ReflectLive andEQClinic. These studies were conducted by two research groups from the USA and Australia and were published between2016 and 2020. Both detected nonverbal communication from video and audio and provided computer-generated feedbackon users’ nonverbal communication. The studies evaluated usability, effectiveness in learning communication skills,and changes in the users’ awareness of their nonverbal communication. The developed applications were deemed feasible. However, the feedback given by the applications needs improvement to be more beneficial to the user. The applications wereprimarily evaluated with medical students, with limited or no attention given to questions regarding ethics, informationsecurity, privacy, sustainability, and costs. Conclusions: Current research on videoconferencing systems for training onlineconsultation skills is very limited. Future research is needed to develop more user-centered solutions, focusing on a multidisciplinarygroup of students and professionals, and to explore the implications of these technologies from a broader perspective,including ethics, information security, privacy, sustainability, and costs.
참고문헌 (14)
- Kissi J, "Telehealth services for global emergencies : implications for COVID-19 : a scoping review based on current evidence", BMC Health Serv Res, 23(1), pp.567~ (2023)[DOI]
- Shilpa N. Gajarawala, "Telehealth Benefits and Barriers", The Journal for Nurse Practitioners, 17(2), pp.218~221 (2021), Elsevier BV[DOI]
- Budakoglu Iİ, "Telemedicine curriculum in undergraduate medical education : a systematic search and review", Health Technol(Berl), 11(4), pp.773~781 (2021)[DOI]
- Edirippulige S, "Education and training to support the use of clinical telehealth : a review of the literature", J Telemed Telecare, 23(2), pp.273~282 (2017)[DOI]
- Henry SG, "Association between nonverbal communication during clinical interactions and outcomes : a systematic review and meta-analysis", Patient Educ Couns, 86(3), pp.297~315 (2012)[DOI]
- Gustin T., "Telemedicine in Orthopedic Surgery and Sports Medicine", pp.65~80 (2021), Springer
- Liu C, "A webbased telehealth training platform incorporating automated nonverbal behavior feedback for teaching communication skills to medical students : a randomized crossover study", J Med Internet Res, 18(9), pp.e246~ (2016)[DOI]
- Liu C, "Improving medical students’awareness of their non-verbal communication through automated non-verbal behavior feedback", Front in ICT, 3, pp.11~ (2016)[DOI]
- Liu C, "Health Information Science", pp.73~84 (2016), Springe
- Liu C, "EQClinic : a platform for learning communication skills in clinical consultations", Med Educ Online, 21, pp.31801~ (2016)[DOI]
- Faucett HA, "I should listen more: realtime sensing and feedback of non-verbal communication in video telehealth", Proc ACM Hum Comput Interact, 1(CSCW44), pp.1~19 (2017)[DOI]
- Wu K, "Automatic mimicry detection in medical consultations", Proceedings of 2017 IEEE Life Sciences Conference (LSC), pp.55~58 (2017)
- Wu K, "Automatic nonverbal mimicry detection and analysis in medical video consultations", Int J Hum Comput Interact, 36(14), pp.1379~1392 (2020)[DOI]
- Jonas CE, "An interdisciplinary, multi-institution telehealth course for third-year medical students", Acad Med, 94(6), pp.833~837 (2019)[DOI]